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Layton R, Layton D, Beggs D, Fisher A, Mansell P, Stanger KJ. The impact of stress and anesthesia on animal models of infectious disease. Front Vet Sci 2023; 10:1086003. [PMID: 36816193 PMCID: PMC9933909 DOI: 10.3389/fvets.2023.1086003] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Accepted: 01/09/2023] [Indexed: 02/05/2023] Open
Abstract
Stress and general anesthesia have an impact on the functional response of the organism due to the detrimental effects on cardiovascular, immunological, and metabolic function, which could limit the organism's response to an infectious event. Animal studies have formed an essential step in understanding and mitigating infectious diseases, as the complexities of physiology and immunity cannot yet be replicated in vivo. Using animals in research continues to come under increasing societal scrutiny, and it is therefore crucial that the welfare of animals used in disease research is optimized to meet both societal expectations and improve scientific outcomes. Everyday management and procedures in animal studies are known to cause stress, which can not only cause poorer welfare outcomes, but also introduces variables in disease studies. Whilst general anesthesia is necessary at times to reduce stress and enhance animal welfare in disease research, evidence of physiological and immunological disruption caused by general anesthesia is increasing. To better understand and quantify the effects of stress and anesthesia on disease study and welfare outcomes, utilizing the most appropriate animal monitoring strategies is imperative. This article aims to analyze recent scientific evidence about the impact of stress and anesthesia as uncontrolled variables, as well as reviewing monitoring strategies and technologies in animal models during infectious diseases.
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Affiliation(s)
- Rachel Layton
- Australian Centre for Disease Preparedness, CSIRO, Geelong, VIC, Australia,*Correspondence: Rachel Layton ✉
| | - Daniel Layton
- Australian Centre for Disease Preparedness, CSIRO, Geelong, VIC, Australia
| | - David Beggs
- Faculty of Veterinary and Agricultural Sciences, Melbourne Veterinary School, University of Melbourne, Melbourne, VIC, Australia
| | - Andrew Fisher
- Faculty of Veterinary and Agricultural Sciences, Melbourne Veterinary School, University of Melbourne, Melbourne, VIC, Australia
| | - Peter Mansell
- Faculty of Veterinary and Agricultural Sciences, Melbourne Veterinary School, University of Melbourne, Melbourne, VIC, Australia
| | - Kelly J. Stanger
- Australian Centre for Disease Preparedness, CSIRO, Geelong, VIC, Australia
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Alegría-Arcos M, Barbosa T, Sepúlveda F, Combariza G, González J, Gil C, Martínez A, Ramírez D. Network pharmacology reveals multitarget mechanism of action of drugs to be repurposed for COVID-19. Front Pharmacol 2022; 13:952192. [PMID: 36052135 PMCID: PMC9424758 DOI: 10.3389/fphar.2022.952192] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 07/06/2022] [Indexed: 12/03/2022] Open
Abstract
The coronavirus disease 2019 pandemic accelerated drug/vaccine development processes, integrating scientists all over the globe to create therapeutic alternatives against this virus. In this work, we have collected information regarding proteins from SARS-CoV-2 and humans and how these proteins interact. We have also collected information from public databases on protein–drug interactions. We represent this data as networks that allow us to gain insights into protein–protein interactions between both organisms. With the collected data, we have obtained statistical metrics of the networks. This data analysis has allowed us to find relevant information on which proteins and drugs are the most relevant from the network pharmacology perspective. This method not only allows us to focus on viral proteins as the main targets for COVID-19 but also reveals that some human proteins could be also important in drug repurposing campaigns. As a result of the analysis of the SARS-CoV-2–human interactome, we have identified some old drugs, such as disulfiram, auranofin, gefitinib, suloctidil, and bromhexine as potential therapies for the treatment of COVID-19 deciphering their potential complex mechanism of action.
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Affiliation(s)
- Melissa Alegría-Arcos
- Facultad de Ingeniería y Negocios, Universidad de Las Américas, Sede Providencia, Santiago, Chile
| | - Tábata Barbosa
- Departamento de Nutrición y Bioquímica, Facultad de Ciencias, Pontificia Universidad Javeriana, Sede Bogotá, Bogotá, Colombia
| | - Felipe Sepúlveda
- Department of Molecular Genetics and Microbiology, Biological Sciences Faculty, Pontifical Catholic University of Chile, Santiago, Chile
| | - German Combariza
- Universidad Externado de Colombia, Departamento de Matemáticas, Bogotá, Colombia
| | - Janneth González
- Departamento de Nutrición y Bioquímica, Facultad de Ciencias, Pontificia Universidad Javeriana, Sede Bogotá, Bogotá, Colombia
| | - Carmen Gil
- Centro de Investigaciones Biológicas Margarita Salas (CIB-CSIC), Madrid, Spain
| | - Ana Martínez
- Centro de Investigaciones Biológicas Margarita Salas (CIB-CSIC), Madrid, Spain
| | - David Ramírez
- Instituto de Ciencias Biomédicas, Universidad Autónoma de Chile, Santiago, Chile
- Research Center for the Development of Novel Therapeutic Alternatives for Alcohol Use Disorders, Santiago, Chile
- *Correspondence: David Ramírez,
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Basem JI, Roth AF, White RS, Tangel VE, Jiang SY, Choi JM, Hoffman KL, Schenck EJ, Turnbull ZA, Pryor KO, Ivascu NS, Memtsoudis SG, Goldstein PA. Patient care in rapid-expansion intensive care units during the COVID-19 pandemic crisis. BMC Anesthesiol 2022; 22:209. [PMID: 35794523 PMCID: PMC9261025 DOI: 10.1186/s12871-022-01752-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Accepted: 06/23/2022] [Indexed: 12/20/2022] Open
Abstract
Background The coronavirus-2019 (COVID-19) pandemic highlighted the unfortunate reality that many hospitals have insufficient intensive care unit (ICU) capacity to meet massive, unanticipated increases in demand. To drastically increase ICU capacity, NewYork-Presbyterian/Weill Cornell Medical Center modified its existing operating rooms and post-anaesthesia care units during the initial expansion phase to accommodate the surge of critically ill patients. Methods This retrospective chart review examined patient care in non-standard Expansion ICUs as compared to standard ICUs. We compared clinical data between the two settings to determine whether the expeditious development and deployment of critical care resources during an evolving medical crisis could provide appropriate care. Results Sixty-six patients were admitted to Expansion ICUs from March 1st to April 30th, 2020 and 343 were admitted to standard ICUs. Most patients were male (70%), White (30%), 45–64 years old (35%), non-smokers (73%), had hypertension (58%), and were hospitalized for a median of 40 days. For patients that died, there was no difference in treatment management, but the Expansion cohort had a higher median ICU length of stay (q = 0.037) and ventilatory length (q = 0.015). The cohorts had similar rates of discharge to home, but the Expansion ICU cohort had higher rates of discharge to a rehabilitation facility and overall lower mortality. Conclusions We found no significantly worse outcomes for the Expansion ICU cohort compared to the standard ICU cohort at our institution during the COVID-19 pandemic, which demonstrates the feasibility of providing safe and effective care for patients in an Expansion ICU.
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Affiliation(s)
- Jade I Basem
- Department of Anesthesiology, Weill Cornell Medicine, 1300 York Avenue, Room A-1050, NY, 10065, New York, USA
| | - Anna F Roth
- Department of Anesthesiology, Weill Cornell Medicine, 1300 York Avenue, Room A-1050, NY, 10065, New York, USA
| | - Robert S White
- Department of Anesthesiology, Weill Cornell Medicine, 1300 York Avenue, Room A-1050, NY, 10065, New York, USA
| | - Virginia E Tangel
- Department of Anesthesiology, Weill Cornell Medicine, 1300 York Avenue, Room A-1050, NY, 10065, New York, USA
| | - Silis Y Jiang
- Department of Anesthesiology, Weill Cornell Medicine, 1300 York Avenue, Room A-1050, NY, 10065, New York, USA
| | - Jacky M Choi
- Department of Population Health Sciences, Division of Biostatistics and Epidemiology, Weill Cornell Medicine, New York, NY, USA
| | - Katherine L Hoffman
- Department of Population Health Sciences, Division of Biostatistics and Epidemiology, Weill Cornell Medicine, New York, NY, USA
| | - Edward J Schenck
- Department of Population Health Sciences, Division of Biostatistics and Epidemiology, Weill Cornell Medicine, New York, NY, USA
| | - Zachary A Turnbull
- Department of Anesthesiology, Weill Cornell Medicine, 1300 York Avenue, Room A-1050, NY, 10065, New York, USA
| | - Kane O Pryor
- Department of Anesthesiology, Weill Cornell Medicine, 1300 York Avenue, Room A-1050, NY, 10065, New York, USA
| | - Natalia S Ivascu
- Department of Anesthesiology, Weill Cornell Medicine, 1300 York Avenue, Room A-1050, NY, 10065, New York, USA
| | - Stavros G Memtsoudis
- Department of Anesthesiology, Weill Cornell Medicine, 1300 York Avenue, Room A-1050, NY, 10065, New York, USA.,Department of Anesthesiology, Critical Care & Pain Management, Hospital for Special Surgery, New York, NY, USA
| | - Peter A Goldstein
- Department of Anesthesiology, Weill Cornell Medicine, 1300 York Avenue, Room A-1050, NY, 10065, New York, USA. .,Department of Medicine, Weill Cornell Medicine, New York, NY, USA. .,Feil Family Brain & Mind Research Institute, Weill Cornell Medicine, New York, NY, USA.
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